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Researcher · SUNY Cortland · United States

Keshab Raj Dahal

Keshab Raj Dahal publishes mostly in Management Science and Operations Research, Artificial Intelligence and Economics and Econometrics, on topics such as Stock Market Forecasting Methods, Energy Load and Power Forecasting and Artificial Intelligence in Healthcare.

ORCID 0000-0002-3227-5039 OpenAlex
World rank
#1,739,227
of 7,710,434 ranked researchers
Rank in United States
#536,556
of 1,627,098
Works
19
Citations
567
Citations per work
29.8
h-index
8
i10-index 7Top 57% in Management Science and Operations Research
Keshab Raj Dahal

What does Keshab Raj Dahal research?

Keshab Raj Dahal's work is mostly in Decision Sciences (24%), Computer Science (15%), Engineering (9%).

Social Sciences: 6 works · 33.4% of their workDecision Sciences: 5 works · 24.1% of their workManagement Science and Operations Research: 5 works · 24.1% of their workEconomics, Econometrics and Finance: 2 works · 9.3% of their workEconomics and Econometrics: 2 works · 9.3% of their workPhysical Sciences: 6 works · 31.5% of their workComputer Science: 3 works · 14.8% of their workArtificial Intelligence: 3 works · 14.8% of their workEngineering: 2 works · 9.3% of their workElectrical and Electronic Engineering: 2 works · 9.3% of their workMathematics: 1 works · 7.4% of their workStatistics and Probability: 1 works · 7.4% of their workEverything else: 6 works · 29.5% of their workHealth Sciences: 1 works · 5.6% of their workHealth Professions: 1 works · 5.6% of their workHealth Information Management: 1 works · 5.6% of their workTHEIR WORKKeshab Raj Dahal19works
Physical Sciences32%Health Sciences6%Social Sciences33%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Decision Sciences524.1%
    2. Economics, Econometrics and Finance29.3%
    1. Computer Science314.8%
    2. Engineering29.3%
    3. Mathematics17.4%
  3. Everything else629.5%
    1. Health Professions15.6%
  1. 1Management Science and Operations Research24% of their works
  2. 2Artificial Intelligence15% of their works
  3. 3Economics and Econometrics9% of their works
  4. 4Electrical and Electronic Engineering9% of their works
  5. 5Statistics and Probability7% of their works
  6. 6Health Information Management6% of their works

Research topics

Which keywords describe Keshab Raj Dahal's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Stock Market Prediction, Time Series Forecasting, Electricity Price Forecasting, Healthcare, Load Forecasting and Machine Learning.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 21 words, with their numbers
  1. Deep Learning194 topics
  2. Neural Networks173 topics
  3. Stock Market Prediction101 topic
  4. Time Series Forecasting101 topic
  5. Electricity Price Forecasting51 topic
  6. Healthcare52 topics
  7. Load Forecasting51 topic
  8. Machine Learning52 topics
  9. Time Series42 topics
  10. Big Data Analytics31 topic
  11. Medical Diagnosis31 topic
  12. Clustering21 topic
  13. Dynamic Time Warping21 topic
  14. Economic Policy Uncertainty21 topic
  15. Econophysics21 topic
  16. Electronic Health Records21 topic
  17. Exponential Smoothing21 topic
  18. Forecasting21 topic
  19. Multifractal Analysis21 topic
  20. Oil Price Shocks21 topic
  21. Predictive Modeling21 topic

Where does Keshab Raj Dahal work?

Keshab Raj Dahal's main affiliation in the publication record is SUNY Cortland, United States.

How many publications and citations does Keshab Raj Dahal have?

OpenAlex counts 19 works and 567 citations for Keshab Raj Dahal, an h-index of 8, ranking #1,739,227 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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